FPGA-based generation of autowaves in Memristive Cellular Neural Networks

Abstract

Cellular Neural/Nonlinear Networks (CNNs) constitute an effective approach for studying complex phenomena like autowaves, spiral waves or pattern formation either by providing a computationally efficient environment for numerical simulations or by allowing the possibility of hardware emulators of the system under study. In this work, we focus on a CNN made… (More)

8 Figures and Tables

Topics

  • Presentations referencing similar topics